@@ -213,7 +213,7 @@ class MatrixWavedec2(object):
213213 >>> import scipy.misc
214214 >>> face = scipy.misc.face()[:256, :256, :].astype(np.float32)
215215 >>> pt_face = torch.tensor(face).permute([2, 0, 1])
216- >>> matrixfwt = ptwt.MatrixWavedec2d (pywt.Wavelet("haar"), level=2)
216+ >>> matrixfwt = ptwt.MatrixWavedec2 (pywt.Wavelet("haar"), level=2)
217217 >>> mat_coeff = matrixfwt(pt_face)
218218
219219 """
@@ -506,7 +506,7 @@ class MatrixWaverec2(object):
506506 >>> import scipy.misc
507507 >>> face = scipy.misc.face()[:256, :256, :].astype(np.float32)
508508 >>> pt_face = torch.tensor(face).permute([2, 0, 1])
509- >>> matrixfwt = ptwt.MatrixWavedec2d (pywt.Wavelet("haar"), level=2)
509+ >>> matrixfwt = ptwt.MatrixWavedec2 (pywt.Wavelet("haar"), level=2)
510510 >>> mat_coeff = matrixfwt(pt_face)
511511 >>> matrixifwt = ptwt.MatrixWaverec2(pywt.Wavelet("haar"))
512512 >>> reconstruction = matrixifwt(mat_coeff)
@@ -709,7 +709,7 @@ def __call__(
709709
710710 Args:
711711 coefficients (list): The coefficient list as returned
712- by the `MatrixWavedec2d `-Object.
712+ by the `MatrixWavedec2 `-Object.
713713
714714 Returns:
715715 torch.Tensor: The original signal reconstruction of
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